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Volumn 49, Issue 3, 2001, Pages 485-496

Optimizing time-frequency kernels for classification

Author keywords

Auto ambiguity; Classification; Helicopter fault diagnosis; Pattern recognition; Radar transmitter identification; Regular TFRs; Rihaczek; Spectrogram; Time frequency kernels; Tool wear monitoring; Wigner Ville

Indexed keywords

HELICOPTER FAULT DIAGNOSIS; RADAR TRANSMITTER IDENTIFICATION; RIHACZEK REPRESENTATIONS; TIME FREQUENCY REPRESENTATIONS; WIGNER-VILLE REPRESENTATIONS;

EID: 0035266653     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/78.905863     Document Type: Article
Times cited : (90)

References (32)
  • 5
    • 0004658617 scopus 로고
    • Optimum time-frequency representations for the classification and detection of signals
    • (1995) Appl. Signal Process. , vol.2 , Issue.3 , pp. 124-143
    • Heitz, C.1
  • 11
    • 0004678214 scopus 로고    scopus 로고
    • Application of operator theory to time-frequency analysis and classification
    • Ph.D. dissertation, Univ. Washington, Seattle
    • (1997)
    • McLaughlin, J.1
  • 30
    • 4243491814 scopus 로고    scopus 로고
    • Time-frequency/time-scale analysis for navy radar applications
    • Chen, V.C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.